InsightFinder AI will demonstrate our newest product – AI Observability – at the Open Data Science Conference next week in San Francisco. InsightFinder AI founder and CEO Helen Gu will demonstrate the product during a special session on Wednesday, October 30th titled “The Answer for AI Observability.”

Large Language Models and the need for AI Observerability

Large Language Models (LLMs) have demonstrated enormous potential to change how businesses operate, and Machine Learning (ML) based models are already widely deployed. Both present significant challenges for organizations – and the data scientists, data engineers, ML/AI platform engineers, and Chief Data Officers that need to deploy and run those models at enterprise scale.

Organizations that deploy AI models in production environments need to protect against model drift, identify hallucinations and ensure accuracy of results, and monitor both model data and supporting infrastructure to ensure performance and reliability.

Unsupervised Machine Learning for AI Observability

AI Observability applies InsightFinder AI’s patented unsupervised machine learning algorithms to analyze model input data and the underlying infrastructure. Real-time anomaly detection and rapid root cause analysis help users to identify and predict model drift and systematically measure model responses to identify hallucinations and ensure accuracy. InsightFinder AI monitors all the underlying systems that make large scale deployment possible, ensuring high availability and model performance.

The AI Observability solution offers flexible deployment options (SaaS and on-premise), rapid onboarding, and out-of-the-box monitoring for model drift and LLM performance. The analysis Workbench supports deep-dive analysis of anomalies, viewers for LLM traces and LLM prompts, model comparison, and flexible filtering. The Co-Pilot allows the analyst to query and drill into data, and perform rapid model troubleshooting and root cause analysis.

AI Observability Beta Program

InsightFinder AI is currently taking applications for the AI Observability Beta Program. Participants receive free access to the software and support. Interested parties should register at the AI Observability Beta Program page.

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